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Form of workJob id: 087147. Salary: £62,696 to £71,857 pro rata per annum per annum, including London Weighting Allowance.
Posted: 02 April 2024. Closing date: 15 April 2024.
Business unit: Faculty of Life Sciences & Medicine. Department: Comprehensive Cancer Centre.
Contact details: Prof Anita Grigoriadis. Anita.grigoriadis@kcl.ac.uk
Location: Guy's Campus. Category: Research.
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Job description
We are seeking a Senior Research Fellow in Clinical Artificial Intelligence. The postholder will develop a research program under supervision of Professor Anita Grigoriadis, with the expectation that they will progress to independence. The developed program of research will be aimed at overcoming the barriers to translation of clinical AI for oncology.
As this is a wide area of research, the postholder will be expected to apply for funding to build and supervise a research group. Three main research areas will be explored:
- Multimodal data integration – the postholder will adapt and apply modern AI architectures for multimodal data fusion, for use in a clinical context. In particular, they will develop models to combine digital pathology with transcriptomics data, as well as other modalities to facilitate improved clinical predictions.
- Uncertainty quantification – the postholder will develop and apply state of the art statistical methodologies, to enable personalised uncertainty estimates, for predictions made by clinical AI.
- Explainability – the postholder will apply standard approaches to explainability, based on attention mapping, as well as develop novel mathematical tools aimed at improving transparency of clinical AI.
The development of these 3 lines of research, will be facilitated by bench marking data sets describing digital pathology and transcriptomics, as well as clinical data collected within the KCL Hospital networks.
This post will be offered on a fixed-term contract until March 2027
This is a full-time post – 100% full time equivalent
Key Responsibilities
To engage in research aimed towards advancing 3 key areas, which represent barriers to translation of clinical AI: uncertainty quantification, multimodal data integration and explainability.
To collaborate in an interdisciplinary team of clinicians, computer scientists, mathematicians, statisticians and biologists to ensure clinical AI is developed with close consideration of clinical constraints and workflows.
To direct and provide academic supervision to other staff and students as required
To direct & devise new projects (aligned line with the three research goals above) and obtain external grant funding competitively to sustain and expand these projects
To engage with industrial and academic partners to apply novel mathematical, statistical and machine learning and artificial intelligence techniques to relevant problems
To disseminate the research results through publication in scientific journals and presentation at appropriate conferences
To participate in any laboratory duties commensurate with the grade as required
Communicate with colleagues from different disciplines
To promote the research group locally and nationally, disseminate research outcomes to advance knowledge in the field of research; represent the research group at external meetings/seminars and liaise with sponsors, stakeholders, national agencies, and professional bodies.
Deal with routine communication using a range of media
Communicate complex information orally and in writing
Help the supervisor to prepare proposals and applications to external bodies for funding or contractual purposes
Communicate material of a specialist or highly technical nature
Liaise with colleagues and students
Build internal contacts and participate in internal networks for the exchange of information and to form relationships for future collaboration
Join external networks to disseminate information and identify potential new collaborators
To prepare and present regular accounts of progress to colleagues and line managers, and contribute to establishing a strategic direction for the wider group
To manage and monitor research resources and budgets as required
Use new research techniques and methods
Identify areas for research, develop new research methods and extend the research portfolio
Contribute to collaborative decision making with colleagues in area of research
To complete in a timely and collaborative manner assigned tasks required to fulfil the objectives of the projects and requests by the funding organisations.
Develop research objectives for own or joint research, with the assistance of the supervisor
Conduct individual and collaborative research projects
to write funding applications for specific avenues of independent research
Continually update knowledge and understanding in field
Translate knowledge of advances in the subject area into research activity
Analyse and interpret research data and draw conclusions on the outcomes
Work with colleagues from various disciplines on joint projects as required
Collaborate with academic colleagues on areas of shared research interest
Attend and contribute to relevant meetings
Be involved in the assessment of student knowledge and supervision of projects
Assist in the development of student research skills
Balance with help the competing pressures of research and administrative demands and deadlines
Be aware of the risks in the work environment and their potential impact on own work and that of others
To act with sensitivity and considers the needs of others
The above list of responsibilities may not be exhaustive, and the post holder will be required to undertake such tasks and responsibilities as may reasonably be expected within the scope and grading of the post.
Skills, knowledge, and experience
Essential criteria
- PhD in Mathematics, Physics, Bioinformatics or appropriate field of research
- Honours degree in Mathematics, Physics, Bioinformatics or appropriate field of research
- Significant research experience relevant to the collection and processing of scientific and clinical data
- Established international publication record in peer reviewed journals
- Ability to write and communicate effectively on data analysis and interpretation including evidence of presenting at international conferences
- Knowledge and experience with mathematical /statistical packages such as Python, R
- Demonstrable knowledge of current clinical workflows to which AI could be applied
- Experience with statistical approaches to uncertainty quantification, e.g. conformal prediction
- Experience with mathematical approaches to modelling complex dynamical systems, with relevance to explainability of deep learning, e.g, network theory, topological and geometrical data analysis
- Practical experience of algorithm development for transcriptomic data analysis
- Experience in the mathematical analysis of multimodality imaging and non-imaging data in clinical studies
- Ability to lead research programs and supervise the work of researchers
Desirable criteria
- Medical degree (MBBS or equivalent) and experience working in a clinical setting using clinical decision making workflows
- Strong software and programming skills (C, and/or Java)
- Experience of working in multi-disciplinary teams
- Affinity for communicating mathematical methods and results to non-mathematicians, in particular clinical audiences
- Teaching and/or lecturing experience
Further Information
We pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel that they belong and are connected to others in our community.
We are committed to working with our staff and unions on these and other issues, to continue to support our people and to develop a diverse and inclusive culture at King's.
We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how they meet the essential criteria listed in the advert. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible.
To find out how our managers review your application, please take a look at our ‘How we Recruit’ pages.
This role does meet the requirements of the Home Office and therefore we are able to offer sponsorship for candidates who do not currently possess the right to work in the UK.
